code: def test_output_sets_alpha(labels, hybridize):
      binned_output = BinnedOutput(
          bin_centers=COMMON_KWARGS["bin_centers"][0],
          label_smoothing=0.35,
      )
  
      arg_proj = binned_output.get_args_proj()
      if hybridize:
          arg_proj.hybridize()
      arg_proj.initialize()
  
      assert (
          binned_output.distribution(
              arg_proj(mx.nd.random.uniform(2, 10))
          ).label_smoothing
          == 0.35
      )
  
file_path: gluonts/test/mx/distribution/test_label_smoothing.py
imports: import itertools
  import mxnet
  import numpy
  import pytest
  from gluonts.mx.distribution import Binned, BinnedOutput
label_desc: Use image node_id 5 for calling a global function with example usage: test_output_sets_alpha(labels, hybridize) without return types